Iraqi Journal of Science

The aim of this study is to extract and utilise the bark of Berlinia grandiflora as a natural dye source for the colouration of cotton and polyamide 6 fabrics. The solvents used for this study were water, methanol, acetone, and methanol/potassium hydroxide. The best of all the solvents used was water. In the extraction process, the various solvents were extracted with Soxhlet extractor. The optimum colourant extraction was observed at 40 °C for 2 h. The extracted compound was isolated and characterized by UV spectrophotometry; proton and carbon-13 nuclear magnetic resonance, mass spectrometry, and Fourier transform infrared spectroscopy. Mordanting and subsequent dyeing of cotton and polyamide 6 fabrics with the extracted colourant were performed to investigate the dye’s efficiency. Two metal salts, namely copper sulphate and stannous chloride, were used as mordants. Furthermore, the washing, rubbing, and light fastness properties of dyed samples were tested. The results of the fastness tests showed that the natural dye gave light fastness value (3= fair) without the use of mordants, whereas the values were 5 on cotton and 4 on nylon 6 with the use of mordants. The results of fastness of rubbing and washing were excellent for both cotton and nylon. The outcome of the study presents a potentially useful natural colourant for the colouration of natural and synthetic fibers.

The influence of acid activation of a mixture of illite, kaolinite, and chlorite clays collected from the area of Zorbatiya (east of Iraq) on the adsorption of methyl violet 6B (MV6B) as a cationic dye was studied. The activation was carried out by using 0.25M HCl and 0.25M . Raw and acid-activated clays were analyzed by atomic force microscopy (AFM), scanning electron microscopy (SEM), and X-ray diffraction (XRD).
Batch adsorption method was used to study the adsorption of MV6B onto the raw and acid activated clays. The impacts of different factors on the adsorption process were studied, such as clay weight, agitation time, starting MV6B concentration, temperature, ionic strength, and solution pH. The adsorption process was described by using Langmuir, Freundlich, Temkin, and Dubinin- Radushkevich isotherm models. Thermodynamic parameters like were estimated based on Vanʼt Hoff equation

Iron status may influence the outcome of infertile women under the intracytoplasmic sperm injection (ICSI) technique of in vitro fertilization (IVF). The aim of this study is to evaluate iron status and ceruloplasmin ferroxidase activity in the follicular fluid (FF) and their association with IVF outcomes. The study enrolled fertile women with male cause infertility (n=25), infertile women with polycystic ovary syndrome (PCOS; n=21), infertile women with low AMH level (n=26), and women with unexplained infertility (UI; n=27), all undergoing IVF/ICSI. On the day of oocyte suction, the selection of FF samples was accomplished. Iron, ferritin, and transferrin levels, as well as ceruloplasmin (CP) ferroxidase activity, were measured in the FF. In the PCOS group, iron showed significantly higher level (P<0.05) as compared to the control and UI groups. In the PCOS group, ferritin showed significantly higher level (P<0.05) compared with the control group. In the PCOS group, transferrin showed significantly higher level (P<0.05) when compared with the UI group. Also, Cp. ferroxidase activity in the PCOS group showed a lower level, but non-significant difference, compared with the other groups. In conclusion, the increased iron level in the follicular fluid of women with PCOS may lead to decrease pregnancy success after applying IVF protocol.

Atherosclerosis is a condition of the hardening of a blood vessel via the development of plaques around the artery wall which causes the artery to narrow, leading to severe complications. Toxoplasmosis is an opportunistic parasitic infection that causes pathological complications in immunocompromised patients, which lead to increase the burden on the immune system in these patients. This study aims to assess the incidence rate of toxoplasmosis in atherosclerosis patients and its potential to change C - reactive protein (C-RP) and vitamin D3 levels. Serum samples (150) were tested for the positivity of anti-Toxoplasma IgG and IgM antibodies by means of Enzyme-linked immunosorbent assay (ELISA). In addition, C-RP was assessed in all serum samples by means of Latex Fixation Test, while VtD3 was estimated by MiniVidas device. The results revealed that the seroprevalence of toxoplasmosis in atherosclerotic patients was comparatively higher as compared to that in the control group, with significant differences in C-RP and VtD3 levels. These results suggest that the decreased levels of VD3 lead to increase the incidence of T. gondii infection in atherosclerosis patients.

Anti-Toxoplasma gondii seropositive status among obese and diabetic patients has recently attracted substantial attention. The objective of this study was to assess the seropositive rate of T. gondii and its relation to high body mass index (BMI), diabetes, and metabolic syndrome among participants (n=100) who attended Al-Kadhimiya Teaching Hospital, Baghdad-Iraq. An observational analytical study was conducted from October 2019 to March 2020. Participants were divided into three groups based on their BMI; obese (n=38), overweight (n=32) and normal (n=30). In addition, they were divided into diabetic (n=45) and non-diabetic (n=55) based on clinical examination, laboratory examination, and medical interview. Another classification was considered: Obese-diabetic (n=24), obese- non-diabetic (n=14), overweight-diabetic (n=13), overweight non-diabetic (n=19), normal-diabetic (n=8) and normal-nondiabetic (n=28). Finally, participants were divided into metabolic syndrome-positive (n=64) and metabolic syndrome negative (n=36). Serum samples were taken from all participants and examined for the detection of anti-T.gondii IgG and IgM antibodies. The anti T.gondii IgG positive rate was higher in the “overweight” compared to the “obese” and “normal BMI” groups. No significant differences (P=0.22) in seropositive rate were indicated among groups. The results also showed that there was no significant difference (P=0.84) in anti-T. gondii IgG positive rate between diabetic and non-diabetic patients. While the anti T.gondii IgG was significantly (P=0.03) higher in patients with metabolic syndrome as opposed to those with no metabolic syndrome. The results also showed that normal-diabetic and overweigh-diabetic patients had the highest anti-T.gondii IgG positive rate, although no significant differences were noticed among groups. Some other parameters were also examined for the participants, including abdominal obesity, cholesterol, triglycerides, high density lipoprotein (HDL), very low density lipoprotein (VLDL), glucose and glycated haemoglobin. Significant differences were noticed only for abdominal obesity and HDL (P˂0.05) between anti T.gondii IgG positive cases and anti T.gondii IgG negative cases. Other factors did not show significant differences between these two groups. Finally, this study showed that T. gondii seropositive status played a significant role in changing only HDL level while other parameters of lipid profile were not influenced by T.gondii seropositivity among obese, diabetic patients and metabolic syndrome patients.

The current investigation aimed to test the alterations of the levels of obestatin hormone, lipid profile and cardiac function markers in relation to hyperglycemia in patients with non-insulin diabetes mellitus. The study included 118 diabetic subjects (56 males, 62 females) and 60 healthy non-diabetic subjects (30 males, 30 females). Diabetic and healthy subjects were age-matched. Serum levels of obestatin, lipid profile markers including total cholesterol (STC), triglycerides (STG), low and high density lipoproteins (LDL-C and HDL-C), as well as cardiac function markers including, creatine kinase and lactate dehydrogenase enzymes were determined in all subjects. The findings revealed a remarkable decrease in the level of serum obestatin in both diabetic males and females with both age ranges (40-59 and 60-80 years). On the other hand, the results showed that serum STC, LDL-C, and STG levels were statistically significantly elevated, while that for HDL-C was significantly decreased in diabetic males and females with both age ranges. Concerning the cardiac markers, the results found out that the levels of CK-MB and LDH were significantly increased in type 2 diabetic males and females with both age ranges. The results suggested that a low concentration of obestatin is a significant risk factor for type 2 DM, with a key role for this hormone in the pathogenesis. Accordingly, altered levels of obestatin could be used as an important indicator for type 2 DM. The current study also suggests a direct relationship between lipid profiles, except for HDL, the decreased obestatin level, the increased cardiac function markers, and hyperglycemic status in type 2 DM.

The aim of this study is to determine the level of pollution with heavy metals (Cd, Cr, Cu, Ni, Pb, Zn) and their potential sources in dust samples collected from schools in Ramadi City, Iraq. The dust samples were collected from 40 primary schools and two kindergartens and analyzed by using atomic absorption spectrophotometer. The heavy metal concentrations were found to follow the order Cr > Cu > Pb > Ni > Zn > Cd. The results indicated that the concentrations of Cd, Cu, and Pb exceeded the permitted background values. The pollution level was assessed using the geo-accumulation index (Igeo) and pollution load index (PLI). The classification of dust samples according to Igeo values showed that they ranged from unpolluted for Cu, Cr, Ni, and Zn, to moderately polluted for Pb, and heavily polluted for Cd. The PLI values indicated no to moderate pollution load. The results of the comparisons of heavy metal concentrations with the background values, as well as the multivariate statistical analysis, indicated three groups of heavy metals with different sources or origins: (1) Cd and Cu (anthropogenic source: vehicle emissions); (2) Pb (mixed source); and (3) Cr, Ni, and Zn (Geogenic source). This study is the first attempt in Iraq to investigate the concentrations of heavy metals in the dust of indoor environments. This study provides the environmental protection managers and decision-makers with important information about the concentrations of heavy metals and their sources in indoor environments.

Apple vinegar has many uses that include burn and wound healing and as an antimicrobial agent against different microorganisms, but not as a solvent. Therefore, this study aimed to use commercial apple vinegar as solvent to the plants of roselle (Hibiscus sabdariffa), green tea (Camellia sinensis), and clove (Syzygium aromaticum). The effects of apple-vinegar extracts of these plants were compared with those of aqueous and ethanolic extracts against biofilm formation by Candida genus. Clove vinegar extract demonstrated antibiofilm activity against C. albicans, alone (2.4907± 0.382) or in combination with the antifungal agents fluconazole (1.689±0.33), nystatine (1.941±0.64), and clotrimazole (2.0353±0.71819). These plant extracts possessed a variable number of antimicrobial compounds, as tested by the HLPC technique. Therefore, apple vinegar was the most efficient solvent, in comparison with the other solvents used in this study, to obtain some phytochemical compounds from the tested plants that have antibiofilm activity against C. albicans.

This research aims to evaluate the serum levels of vitamin D and interleukin 17 (Il-17) in pregnant women, then finding the correlation between these maternal parameters and fetus biophysical profile. Healthy pregnant women (n=45) and non-pregnant control (n=45) were involved in the study, who attended Baghdad medical laboratory, Baghdad, Iraq, with an age range of 20 to 40 years. An analytical study was conducted from October 2019 until January 2020.
The results of the study show that the mean value of vitamin D level significantly increases (P≤0.05) in pregnant women (11.07±0.93 ng/ml) in comparison with that in non-pregnant control (8.03±0.69 ng/ml). The level of IL-17 was significantly higher (P≤0.001) in the pregnant women (468.38±50.62 Pg/ml) as compared to non-pregnant ones (144.39±3.98 Pg/ml). Also, the results show no significant correlation (0.162) between maternal vitamin D and (F.H.R.), which was measured by ultrasound sonography. Also, there is no significant inverse correlation between maternal Il-17 and fetal growth measurement.
It can be concluded from the current study that some of the signs of the physical appearance of the fetus that were studied in the second trimester (13-28 w) and third trimester (29-41 w) of pregnancy do not correlate with the level of vitamin D in the mother’s blood. Also, there is a weak inverse relationship between this appearance and the mother’s immune response, represented by measuring the level of IL-17, which needs more studies in the future.

Diabetes is a chronic disease which has reached pandemic proportions in a lot of countries of the world. In spite of the remarkable development in therapeutics chemistry, the usage of customary drugs is still a common practice for the treatment of diabetes. The current study was designed to investigate the effects of pomegranate seed oil (PSO) on kidney functions in the experimentally-induced diabetes in male rabbits. Diabetes was experimentally introduced by the intraperitoneal injection of alloxan monohydrate (150mg/kg BW). After three days of alloxan injection, samples were taken for the determination of glucose concentration. Serum glucose concentration of 200mg/ml was considered as an indication of animal diabetes. The experimental part was begun after 7 days of alloxan injection.
Thirty two adult male rabbits were arbitrarily separated into four groups and treated daily for 45 days. Group 1 was kept with no treatment, group 2 included animals treated with 30mg/kg BW PSO, group 3 included diabetic animals that received alloxan with a dose of 150mg/kg BW, and, finally, group 4 included animals that received alloxan (150mg/kg BW) and treated with PSO (30mg/kg BW). Fasting blood samples were collected by heart puncture technique after 45days of experiments to assess glucose levels.

This study was designed to investigate the protective effects of red cabbage and garlic extracts on the oxidative stress induced through treatment with fumonisin B1 in male mice. The study was conducted on sixty male mice that were divided randomly into six groups. Group 1included control mice, mice in group 2 received a daily oral dose (200 μg/kg.b.w) of fumonisin B1 for one month to induced mycotoxicosis, mice in group 3 received 500 mg/kg.b.w red cabbage extract plus fumonisin B1, mice in group 4 received only red cabbage extract, mice in group 5 received 500 mg/kg.b.w garlic extract plus fumonisin B1, and group 6 received garlic extract alone. After finishing the experiments, samples of blood were used for biochemical examination. The results indicated that group 2 mice had significantly increased (p < 0.05) serum levels of malondialdehyde, which is a biomarker of lipid peroxidation, in addition to significantly decreased levels of catalase and the antioxidant enzymes glutathione peroxidase , glutathione , and superoxide dismutase , as compared to the normal control group. Oral administration of garlic and red cabbage extracts produced significantly decreased levels of serum malondialdehyde and significantly increased levels of superoxide dismutase, catalase, glutathione peroxidase, and glutathione, as compared to group 2. These results indicated that the experimental treatment with fumonisin B-1 caused an elevated oxidative stress in addition to the consumption of the antioxidant enzymes in response to the induced oxidative aggression.

The life on earth is driven by energy, supplied by the tiny organelles of the cell called mitochondria and they are usually stated as the powerhouses of the cell. In population genetics, Mitochondrial DNA (mtDNA) is used extensively to categorize individuals or populations. The mutation sites observed in human mtDNA by comparing with the reference sequence (rCRS) are termed into definite human mtDNA haplogroups. Previous studies showed that mtDNA specific haplogroups and polymorphisms were established to be linked with various human diseases, including cancer in numerous populations. Furthermore, it is also known that several mitochondrial DNA polymorphisms are implicated in enhanced production of Reactive Oxygen Species (ROS) which are known to be an increased risk cause for several cancers, including colorectal cancer in Indian patients. Hence in our study, we made high resolution examination on mtDNA hypervariable region to trace the association of specific mtDNA haplogroup with colorectal cancer in south Indian populations. We report that mtDNA Haplogroup M was observed in 60% of the colorectal cancer patients and around 55% in the studied control samples. Haplogroup M is the most frequent mtDNA cluster found among south Indian populations. We further sub-lineated macro haplogroup M and found sub haplogroups (M8, M7, M6, M5, M3 and M2) in varied frequencies. In particular, we found significant association of haplogroup M5 with colorectal cancer patients (p = 0.026). Haplogroup M5 was observed in 12% of colorectal cancer patients in south Indian patients and in 3.3% of the control populations. These results suggest that individuals with haplogroup M5 may have significant risk to develop colorectal cancer.

Well dispersed Cu2FeSnSe4 (CFTSe) nanofilms were synthesized by hot injection method. The structural and morphological measurements were characterized using XRD (X ray diffraction), Raman spectroscopy, SEM (scanning electron microscopy), and TEM (transmission electron microscopy). Chemical composition and optical properties of as synthesized CFTSe nanoparticles were characterized using EDS (energy dispersive spectroscopy) and UV Vis spectrophotometry. The average particle size of the nanoparticles was about 7 10 nm. The UV Vis absorption spectra showed that the synthesized CFTS nanofilms have a band gap (Eg) of about 1.16 eV. Photo electrochemical characteristics of CFTSe nanoparticles were studied and indicated their potential application in photovoltaic applications.

Poly ethylene oxide PEO / Poly vinyl alcohol PVA blends were prepared by cast method at different ratios of (25%PEO/75%PVA, 30%PEO/70%PVA, 35%PEO/65%PVA, 40%PEO/60%PVA, and 50%PEO/505PVA). Samples miscibility ,and thermal stability were studied by using differential scanning calorimetry(DSC),and thermo gravimetric analysis (TGA) analysis. The results proved that there was one glass transition temperature (Tg=160°C) at 25%PEO\PVA ratio )that was attributed to its miscibility. This miscibility associated with (Hydrogen bonds) between (Hydroxyl group) in PVA, and PEO, whereas there were two glass transition temperature for the blends ratio more than 30%PEO,that was due its immiscibility. The results proved increase in glass transition temperature (Tg) with PEO loading increase: whereas the melting point was fixed about(Tm=310°C). TGA results showed that PEO loading caused overlapping between degradation stages ,and shifting in the second stage to higher degradation temperature, that was due to the good PVA, and PEO compatibility, and thermal stability improved of polymer blends. The mechanical properties of the samples involved were studied :it was found that the tensile strength decreased with PEO ratio increase: whereas ,the elongation at break increased with PEO ratio . 25% PEO/PVA proved better tensile strength than the others blend ratios and elongation-at-break values in comparison with that ratio more than 25%,which was due to good miscibility. These results were enhanced with optical microscope and FTIR analysis. 25%PEO/PVA was sellected to study the UV-Weathering effect on the mechanical properties according to its ultimate strength(26.67MPa) in comparision with the blends envolved.The stress strain curves for 25%PEO/PVA before and after UV-Weathering with periods of time(25,60,and 90Hr.) showed little changes in ultimate strength up to (60Hr) exposure time,then there were little decrese in ultmate strength in(90Hr) exposure time . Ultimate tensile strength decrease was attributed to premature failur induced by polymer photo degradation. UV-Weathering caused yelowish of exposed samples that was due to long chain conjugated polymer sequencesbond formation induced by oxidative photo degradation . The results proved little changes within (60Hr),that was attributed to polymer stability.It was folowed by little changes in tensile strength and the elongation at break decreased that was due to sample brittlence increase,which was induced by irradiation ,that caused modulus of elasticity increase. It was experimentally observed that the value of thermal conductivity of (PVA= 0.099W/cm.K).The results proved decrease in thermal conductivity with PEO loading increase.

In this paper, the pure graphene oxide and copper phthalocyanine-tetrasolfonic acid tetrasodium salt were used to prepare thin films by using the spin coating method. These chemical compounds have remarkable optical properties and are chemically used in the development of device sensors by increasing the mixing ratio. Three different mixing ratios were prepared at room temperature and 150oC annealing temperature for three hours. The spectra of UV-VIS-IR absorption, photoluminescence, and Fourier-transformed infrared (FT-IR) were studied.

The calculations of the shell model, based on the large basis, were carried out for studying the nuclear 29-34Mg structure. Binding energy, single neutron separation energy, neutron shell gap, two neutron separation energy, and reduced transition probability, are explained with the consideration of the contributions of the high-energy configurations beyond the model space of sd-shell. The wave functions for these nuclei are used from the model of the shell with the use of the USDA 2-body effective interaction. The OBDM elements are computed with the use of NuShellX@MSU shell model code that utilizes the formalism of proton-neutron.

Calciturbidites are similar to siliciclastic turbidites in structure, texture, basin physiography and processes of deposition; nevertheless, their clasts (grains) are carbonate minerals. Turbidity currents transport carbonate grains from carbonate source areas and coastal areas to the deep basins after passing the shelf (peri-platform). These currents are triggered by short-lived catastrophic events, such as tsunamis, earthquakes, marine slides, and typhoons. The Late Cretaceous Zagros Foreland and Hinterland in NE-Iraq (Kurdistan Region) was an active source for the shedding of voluminous sediments to the deep basin of Zagros Foreland Basin. During late Campanian, Shiranish Formation was deposited in the foreland basin; it occurs in the most famous oil fields in the Middle East and represents hemplagite facies (much diluted turbidite facies). Previous studies have not broached the origins of Shiranish Formation, neither in detail or briefly. Conversely, the present study focused on linking the calciturbidite system to the origin of the deposition of the Shiranish Formation via derivation from main carbonate source areas. Along long distance, the sediments crossed the marginal slope, scoring submarine channels and depositing coarse detrital carbonates before reaching the basin plain. On the plain, mostly the fine fractions have settled down and mixed with pelagic sediment. The calciturbidite evidence could be tracked for more than 40 km in the studied area from the slope and outer shelf (present Thrust Zone) to the basin plain (High Folded zone). In several places, channelized detrital laminated limestones are found inside Shiranish Formation and in the most proximal area near Qaladiza town. Bouma sequences are clearly observable with erosional base and A, B, and C divisions. These calciturbidites are keys for picturing Campanian paleogeography and nature of the source area which was consisted of limestone.

The study area is part of the city of Samawa in Al Muthanna Governorate in southern Iraq. The study area is located to the west of Samawa city bounded by the north latitudes 31⁰11'-31o42' and east longitudes 44o58'- 45⁰16'and its groundwater resources are developed for supply and irrigation purposes. In order to evaluate the quality of groundwater in the study area, twenty three groundwater samples were collected and analyzed for physical and chemical parameters. Hydrochemical analysis showed that the groundwater of the study area is excessively mineralized and very hard. The increase in flow length of groundwater in the study area caused a change in water quality from bicarbonate to sulfate and chloride. The abundance of the major ions is as follows: SO4> CL>HCO3>NO3and Na>Ca>Mg>K. The dominant type of groundwater is Na+- sulfate. The water of the studied wells is not suitable for human drinking. Depending on TDS and EC values, most samples of the water are moderate saline class for irrigation. Most wells are good to permissible (wells No.4,14,17) and doubtful (well No. 12) for irrigation depending on Na%, while unsuitable for irrigation depending on EC (except well No. 17 which is permissible). Excellent water class (S1)for agriculture was recorded depending on SAR, except for well N0.2 which had an a good class (S2).

In this paper, we attempt to predict the depositional environments with associated lithofacies of the main reservoir of the late Cretaceous Mishrif carbonate Formation, depending on the analysis of the created seismic isopach map by integrating seismic and well data. The isopach map was created from a 3D-seismic reflection survey carried out at the Dujaila oil field in southeastern Iraq, which is of an area of 602.26 Km2, and integrated with the data of the two explored wells. Based on the interpretation of the seismic isopach map, the diagram of the 3D-depositional environment model of Mishrif Formation was constructed. It showed three distinguished depositional environments, which were graduated from a back reef lithofacies of a shallow open marine (shelf) environment in the west and NW, to a shoal environment of isolated Rudist reefal buildup in the middle, and a fore reef lithofacies of the deep open marine basin environment in the SE of the field. A 3D-instantaneous frequency model was generated to verify the capability of the seismic isopach map of predicting the depositional environments, which in turn showed that the low frequency was restricted in the region of the high thickness of Rudist reefal buildups (porous reservoir facies) in the vicinity of the productive well Dujaila-1.

Let be a ring with identity and be a submodule of a left - module . A submodule of is called - small in denoted by , in case for any submodule of , implies . Submodule of is called semi -T- small in , denoted by , provided for submodule of , implies that . We studied this concept which is a generalization of the small submodules and obtained some related results

In the current paper, we study the structure of Jordan ideals of a 3-prime near-ring which satisfies some algebraic identities involving left generalized derivations and right centralizers. The limitations imposed in the hypothesis were justified by examples.

This paper presents a numerical solution to the inverse problem consisting of recovering time-dependent thermal conductivity and heat source coefficients in the one-dimensional parabolic heat equation. This mathematical formulation ensures that the inverse problem has a unique solution. However, the problem is still ill-posed since small errors in the input data lead to a drastic amount of errors in the output coefficients. The finite difference method with the Crank-Nicolson scheme is adopted as a direct solver of the problem in a fixed domain. The inverse problem is solved subjected to both exact and noisy measurements by using the MATLAB optimization toolbox routine lsqnonlin , which is also applied to minimize the nonlinear Tikhonov regularization functional. The thermal conductivity and heat source coefficients are reconstructed using heat flux measurements. The root mean squares error is used to assess the accuracy of the approximate solutions of the problem. A couple of numerical examples are presented to verify the accuracy and stability of the solutions

This research aims to give a splitting structure of the projective line over the finite field of order twenty-seven that can be found depending on the factors of the line order. Also, the line was partitioned by orbits using the companion matrix. Finally, we showed the number of projectively inequivalent -arcs on the conic through the standard frame of the plane

Let be a connected graph with vertices set and edges set . The ordinary distance between any two vertices of is a mapping from into a nonnegative integer number such that is the length of a shortest path. The maximum distance between two subsets ̀ and of is the maximum distance between any two vertices and such that belong to ̀ and belong to . In this paper, we take a special case of maximum distance when ̀ consists of one vertex and consists of vertices, . This distance is defined by:
{ } | | ,
where is the order of a graph .
In this paper, we defined – polynomials based on the maximum distance between a vertex in and a subset that has vertices of a vertex set of and – index. Also, we find polynomials for some special graphs, such as: complete, complete bipartite, star, wheel, and fan graphs, in addition to polynomials of path

In this article, the inverse source problem is determined by the partition hyperbolic equation under the left end flux tension of the string, where the extra measurement is considered. The approximate solution is obtained in the form of splitting and applying the finite difference method (FDM). Moreover, this problem is ill-posed, dealing with instability of force after adding noise to the additional condition. To stabilize the solution, the regularization matrix is considered. Consequently, it is proved by error estimates between the regularized solution and the exact solution. The numerical results show that the method is efficient and stable.

In this paper, a differential operator is used to generate a subclass of analytic and univalent functions with positive coefficients. The studied class of the functions includes: ( ) Σ ( * +)
which is defined in the open unit disk * | | + satisfying the following condition { ( ( ) ( )) ( ( ) ( )) ( ) ( ) ( ) ( ( ) ( )) } { ( ( ) ( )) ( ( ) ( )) ( ) ( ) ( ) ( ( ) ( )) } ( )
This leads to the study of properties such as coefficient bounds, Hadamard product, radius of close –to- convexity, inclusive properties, and (n, τ) –neighborhoods for functions belonging to our class.

The paper is concerned with the state and proof of the solvability theorem of unique state vector solution (SVS) of triple nonlinear hyperbolic boundary value problem (TNLHBVP), via utilizing the Galerkin method (GAM) with the Aubin theorem (AUTH), when the boundary control vector (BCV) is known. Solvability theorem of a boundary optimal control vector (BOCV) with equality and inequality state vector constraints (EINESVC) is proved. We studied the solvability theorem of a unique solution for the adjoint triple boundary value problem (ATHBVP) associated with TNLHBVP. The directional derivation (DRD) of the "Hamiltonian"(DRDH) is deduced. Finally, the necessary theorem (necessary
conditions "NCOs") and the sufficient theorem (sufficient conditions" SCOs"), together denoted as NSCOs, for the optimality (OP) of the state constrained problem (SCP) are stated and proved.

In this paper, we analyze several aspects of a hyperbolic univalent function related to convexity properties, by assuming to be the univalent holomorphic function maps of the unit disk * + onto the hyperbolic convex region ( is an open connected subset of ). This assumption leads to the coverage of some of the findings that are started by seeking a convex univalent function distortion property to provide an approximation of the inequality | ( ) ( ) | | ( )| and confirm the form of the lower bound for ( ) . A further result was reached by combining the distortion and growth properties for increasing inequality | ( ) ( )| . From the last result, we wanted to demonstrate the effect of the unit disk image on the condition of convexity estimation by proving the two inequalities of
| ( ) ( )| ( ) , and | ( ) ( )| .

Chacha 20 is a stream cypher that is used as lightweight on many CPUs that do not have dedicated AES instructions. As stated by Google, that is the reason why they use it on many devices, such as mobile devices, for authentication in TLS protocol. This paper proposes an improvement of chaha20 stream cypher algorithm based on tent and Chebyshev functions (IChacha20). The main objectives of the proposed IChacha20 algorithm are increasing security layer, designing a robust structure of the IChacha20 to be enabled to resist various types of attacks, implementing the proposed algorithm for encryption of colour images, and transiting it in a secure manner. The test results proved that the MSE, PSNR, UQI and NCC metrics of IChacha20 are better than those of the original Chacha20. Also, the proposed method has a faster execution time (01:26:4 sec) compared with the original algorithm (02:07:1 sec).

The importance of efficient vehicle detection (VD) is increased with the expansion of road networks and the number of vehicles in the Intelligent Transportation Systems (ITS). This paper proposes a system for detecting vehicles at different weather conditions such as sunny, rainy, cloudy and foggy days. The first step to the proposed system implementation is to determine whether the video‟s weather condition is normal or abnormal. The Random Forest (RF) weather condition classification was performed in the video while the features were extracted for the first two frames by using the Gray Level Co-occurrence Matrix (GLCM). In this system, the background subtraction was applied by the mixture of Gaussian 2 (MOG 2) then applying a number of pre-processing operations, such as Gaussian blur filter, dilation, erosion, and threshold. The main contribution of this paper is to propose a histogram equalization technique for complex weather conditions instead of a Gaussian blur filter for improving the video clarity, which leads to increase detection accuracy. Based on the previous steps, the system defines each region in the frame expected to contain vehicles. Finally, Support Vector Machine (SVM) classifies the defined regions into a vehicle or not. As compared to the previous methods, the proposed system showed high efficiency of about 96.4% and ability to detect vehicles at different weather conditions.

The huge evolving in the information technologies, especially in the few last decades, has produced an increase in the volume of data on the World Wide Web, which is still growing significantly. Retrieving the relevant information on the Internet or any data source with a query created by a few words has become a big challenge. To override this, query expansion (QE) has an important function in improving the information retrieval (IR), where the original query of user is recreated to a new query by appending new related terms with the same importance. One of the problems of query expansion is the choosing of suitable terms. This problem leads to another challenge of how to retrieve the important documents with high precision, high recall, and high F measure. In this paper, we solve this problem through applying different similarity measures with the use of English WordNet. The obtained results proved that, with a suitable selection method, we are able to take advantage of English WordNet to improve the retrieval efficiency. The work proposed in this paper is extracting the terms from all the documents and query, then applying the following steps: preprocessing, expanding the query based on English WordNet, selecting the best terms, weighting of term, and finally using the cosine similarity and Jaccard similarity to obtain the relevant documents.
Our practical results were applied on the DUC2002 dataset that contains 559 documents distributed over several categories. The average precision of cosine (for random queries) = 100% whereas the average precision of Jaccard = 84.4 %, and the average recall of cosine = 86.8% whereas the average recall of Jaccard = 73.4%. The average f-measure of cosine = 92%, whereas the average f-measure of Jaccard = 76%.

Community detection is useful for better understanding the structure of complex networks. It aids in the extraction of the required information from such networks and has a vital role in different fields that range from healthcare to regional geography, economics, human interactions, and mobility. The method for detecting the structure of communities involves the partitioning of complex networks into groups of nodes, with extensive connections within community and sparse connections with other communities. In the literature, two main measures, namely the Modularity (Q) and Normalized Mutual Information (NMI) have been used for evaluating the validation and quality of the detected community structures. Although many optimization algorithms have been implemented to unfold the structures of communities, the influence of NMI on the Q, and vice versa, between a detected partition and the correct partition in signed and unsigned networks is unclear. For this reason, in this paper, we investigate the correlation between Q and NMI in signed and unsigned networks. The results show that there is no direct relationship between Q and NMI in both types of networks

The swarm intelligence and evolutionary methods are commonly utilized by researchers in solving the difficult combinatorial and Non-Deterministic Polynomial (NP) problems. The N-Queen problem can be defined as a combinatorial problem that became intractable for the large ‘n’ values and, thereby, it is placed in the NP class of problems. In the present study, a solution is suggested for the N-Queen problem, on the basis of the Meerkat Clan Algorithm (MCA). The problem of n-Queen can be mainly defined as one of the generalized 8-Queen problem forms, for which the aim is placing 8 queens in a way that none of the queens has the ability of killing the others with the use of the standard moves of the chess queen. The Meerkat Clan environment is a directed graph, called the search space, produced for the efficient search of valid n-queens’ placement, in a way that they do not cause harm to one another. This paper also presents the development of an intelligent heuristic function which is helpful to find the solution with high speed and effectiveness. This study includes a detailed discussion of the problem background, problem complexity, Meerkat Clan Algorithm, and comparisons of the problem solution with the Practical Swarm Optimization (PSO) and Genetic Algorithm (GA. It is an entirely review-based work which implemented the suggested designs and architectures of the methods and a fair amount of experimental results.

Facial expressions are a term that expresses a group of movements of the facial fore muscles that is related to one's own human emotions. Human–computer interaction (HCI) has been considered as one of the most attractive and fastest-growing fields. Adding emotional expression‟s recognition to expect the users‟ feelings and emotional state can drastically improves HCI. This paper aims to demonstrate the three most important facial expressions (happiness, sadness, and surprise). It contains three stages; first, the preprocessing stage was performed to enhance the facial images. Second, the feature extraction stage depended on Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) methods. Third, the recognition stage was applied using an artificial neural network, known as Back Propagation Neural Network (BPNN), on database images from Cohen-Kanade. The method was shown to be very efficient, where the total rate of recognition of the three facial expressions was 92.9%.

COVID-19 (Coronavirus disease-2019), commonly called Coronavirus or CoV, is a dangerous disease caused by the SARS-CoV-2 virus. It is one of the most widespread zoonotic diseases around the world, which started from one of the wet markets in Wuhan city. Its symptoms are similar to those of the common flu, including cough, fever, muscle pain, shortness of breath, and fatigue. This article suggests implementing machine learning techniques (Random Forest, Logistic Regression, Naïve Bayes, Support Vector Machine) by Python to classify a series of chest X-ray images that include viral pneumonia, COVID-19, and healthy (Not infected) cases in humans. The study includes more than 1400 images that are collected from the Kaggle platform. The experimental outcomes of this study confirmed that the supported vector machine technique has high accuracy and excellent performance in the classification of the disease, as reflected by values of 91.8% accuracy, 91.7% sensitivity, 95.9% specificity, 91.8% F1-score, and 97.6% AUC.

Heat island is known as the increases in air temperature through large and industrial cities compared to surrounding rural areas. In this study, remote sensing technology is used to monitor and track thermal variations within the city center of Baghdad through Landsat satellite images and for the period from 2000 to 2015. Several processors and treatments were applied on these images using GIS 10.6 and ERDAS 2014, such as image correction and extraction, supervised classification, and selection of training samples. Urban areas detection was resulted from the supervised classification linked to the temperature readings of the surface taken from the thermal bands of satellite images. The results showed that the surface temperature of the city of Baghdad increased by 8 degrees Celsius in 15 years. This is due to the increase in the expansion of the urban areas type of land use, where the human activity, especially after 2003, caused increased buildup area to about 198.41 km2. All these changes occurred at the expense of many green regions which were reduced, with the transformation of open and agricultural areas to residential, commercial, and industrial uses. Increases in surface temperature resulted increases in air temperature, where the minimum temperature showed larger increases relative to maximum temperature (about 1.44 and 0.76 ºC, respectively).